Il talk prevede una panoramica sulle proprietà di rigidità del Mapping Class Group di una superficie. Ci focalizzeremo in particolare…
Eventi
From transcripts to game strategies: mathematical insights for advancing data science – Francesco Morandin (Università di Parma)
Through a diverse range of topics, we explore the application of statistical modeling and AI algorithms in several realms. We…
A Tensor Gradient Cross for Hamilton-Jacobi-Bellman equations – Luca Saluzzi (Scuola Normale Superiore, Pisa)
Hamilton-Jacobi-Bellman (HJB) equation plays a central role in optimal control and differential games, enabling the computation of robust controls in feedback form. The main disadvantage for this approach depends on the so-called curse of…
Statistical mechanics of neural networks: from the theoretical state of the art to selected applications in health-care – Adriano Barra (Università del Salento)
In this talk, after a streamlined historical introduction to Artificial Intelligence, at first, I will summarize recent advances in our…
Four-sided pegs fitting round holes fit all smooth holes – Andrew Lobb (Durham University)
Given a smooth Jordan curve and a cyclic quadrilateral (a cyclic quadrilateral is a quadrilateral that can be inscribed in…
Vertex labeling properties on simplicial complexes – Bruno Benedetti (University of Miami)
Hamiltonian graphs are graphs where one can find a closed walk that touches all vertices exactly once. Equivalently, they are the graphs whose vertices can be labeled from 1 to n so that all of 12, 23, 34, …, n1 feature among the edges. This…
From combinatorics to PDE – Francesco Mattesini (Münster University/Max Planck Institute Leipzig )
The optimal matching problem is a popular random variational problem that received interest in the last 30 years. It was…
Stochastic probing methods for estimating the trace of functions of sparse symmetric matrices – Michele Rinelli (Scuola Normale Superiore)
We consider the combination of two approaches for the trace estimation of a symmetric matrix function f(A) when the only feasible operations are matrix-vector products and quadratic forms with f(A): stochastic estimators, such as the Hutchinson…
Decrypting the Language of Climate Change through Natural Language Processing machine learning Techniques – Davide Faranda (CNRS Researcher in Climate Sciences)
In this lecture, I will be presenting exciting ways in which machine learning methods from Natural Language Processing (NLP) can be applied to the important issue of climate change. I will discuss the various techniques and algorithms used in NLP to…
Desingularization of semialgebraic sets and applications – Antonio Carbone (Università di Trento)
Hironaka’s desingularization results are very powerful tools that allow to desingularize algebraic sets defined over fields of characteristic zero. If…